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Awesome List Containing references to little online Tools
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…
Portable file server with accelerated resumable uploads, dedup, WebDAV, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file, no deps
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Make beautiful isometric infrastructure diagrams
Fully Local Manus AI. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity. 🔔 Official updates only via twitter @Martin9…
interview-coder-withoupaywall-opensource
Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion
A lightweight data processing framework built on DuckDB and 3FS.
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks
Manga & Anime Downloader for Linux, Windows & MacOS
A collection of inspiring resources related to engineering management and tech leadership
Repository of interview questions for Engineering Leadership roles - Engineering Manager, Director of Engineering, VP Engineering and also senior IC roles
A modern cookiecutter template for Python projects that use uv for dependency management
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
Some English interpretations of Lao Tzu's Tao Te Ching.
A framework for Claude Opus to intelligently orchestrate subagents.
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.